use of org.apache.ignite.ml.tree.boosting.GDBBinaryClassifierOnTreesTrainer in project ignite by apache.
the class GDBTrainerTest method testUpdate.
/**
*/
@Test
public void testUpdate() {
int sampleSize = 100;
double[] xs = new double[sampleSize];
double[] ys = new double[sampleSize];
for (int i = 0; i < sampleSize; i++) {
xs[i] = i;
ys[i] = ((int) (xs[i] / 10.0) % 2) == 0 ? -1.0 : 1.0;
}
Map<Integer, double[]> learningSample = new HashMap<>();
for (int i = 0; i < sampleSize; i++) learningSample.put(i, new double[] { xs[i], ys[i] });
IgniteBiFunction<Integer, double[], Vector> fExtr = (k, v) -> VectorUtils.of(v[0]);
IgniteBiFunction<Integer, double[], Double> lExtr = (k, v) -> v[1];
GDBTrainer classifTrainer = new GDBBinaryClassifierOnTreesTrainer(0.3, 500, 3, 0.0).withUsingIdx(true).withCheckConvergenceStgyFactory(new MeanAbsValueConvergenceCheckerFactory(0.3));
GDBTrainer regressTrainer = new GDBRegressionOnTreesTrainer(0.3, 500, 3, 0.0).withUsingIdx(true).withCheckConvergenceStgyFactory(new MeanAbsValueConvergenceCheckerFactory(0.3));
// testUpdate(learningSample, fExtr, lExtr, classifTrainer);
// testUpdate(learningSample, fExtr, lExtr, regressTrainer);
}
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